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Iot networks rate maximization

Webpractically used for IoT services requiring low latency and high reliability [3], [6]. A. Related Works In this regard, the transmit power allocation problem in the uplink of a NOMA system is studied in [7]–[19]. In particular, the data rate maximization problems of NOMA uplink systems are considered in [7], [9]–[12]. The work in [7] WebThe sum rate maximization can be formulated as a nonlinear and nonconvex optimization problem with the constraints of transmit power of UAVs, elevation angle, azimuth angle and height of antenna array equipped at base station (BS).

Sum-Rate and Reliability Analysis for Power-Domain Non …

Websolved the sum data rate maximization problem of such a system. In addition, in [24], they studied a hybrid OFDMA-NOMA system to efficiently allocate energy subject to … Web3) A broad overview of network lifetime (NL) definitions is offered. 4) We provide a critical appraisal of the state-of-the-art NL maximization techniques, including their objective … city of taunton planning board agenda https://ponuvid.com

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Web14 apr. 2024 · Satellite IoT vs. Traditional Cellular Networks. It’s worth noting that while traditional cellular networks are sufficient for many use cases, they have limitations … Web25 mrt. 2024 · In this paper, we propose a backscattered-assisted wireless-powered NOMA-MEC network that consists of one ES, multiple IoT nodes and one MEC server, and aim to develop a resource allocation scheme to maximize the total computation bits of all IoT nodes while considering the computation resource allocation at the MEC server. Web15 feb. 2024 · Unmanned air vehicles (UAVs) used as aerial base stations (ABSs) can provide communication services in areas where cellular network is not functional due to a calamity. ABSs provide high coverage and high data rates to the user because of the advantage of a high altitude. ABSs can be static or mobile; they can adjust their position … city of taunton tax assessor

Frontiers Power Minimization Using Rate Splitting With Statistical ...

Category:Throughput Maximization in Low-Power IoT Networks via Tuning …

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Iot networks rate maximization

Partitioning Convolutional Neural Networks to Maximize the

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Iot networks rate maximization

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Web31 aug. 2024 · Optimal UAV Deployment for Rate Maximization in IoT Networks. Abstract: We consider multiple unmanned aerial vehicles (UAVs) at a common altitude serving … WebThis paper presents the optimal policy for an inventory model where the demand rate potentially depends on both selling price and stock level. The goal is the maximization of the profitability index, defined as the ratio income/expense. A numerical algorithm is proposed to calculate the optimal selling price. The optimal values for the depletion time, …

Web15 nov. 2024 · In this poster, we propose an algorithm called S-TSCH to find the optimal size of the TSCH slotframe for maximizing network throughput based on 1) the number of … Web13 feb. 2024 · The routing protocol used in these networks is called routing over low-power and lossy networks (RPL). Therefore, the IoT networks include smart objects that need …

WebHIGHLIGHTS. who: Spectrum et al. from the Department of Electronics and Communication Engineering, Indian Institute of Information Technology Guwahati, Assam, India (e-mail: … Web9 sep. 2024 · This network comprises a high-altitude platform (HAP) and several unmanned aerial vehicles (UAVs) to improve the spectral utilization of the IoT networks. ... A Low …

Web26 sep. 2024 · We consider an RIS-assisted IoT network consisting of multiple pairs of IoT devices that utilize both direct paths and one-hop reflected paths. Two resource …

Web13 apr. 2024 · The following article, “Latency-Aware Task Scheduling for IoT Applications Based on Artificial Intelligence with Partitioning in Small-Scale Fog Computing Environment” [ 5 ], proposes a task scheduling algorithm that uses artificial neural networks with partitioning capabilities to enable multiple edge servers to learn and calculate … do the amish play board gamesWeb11 apr. 2024 · Abstract. The paper proposes a machine learning-based user retention technique for the 6G network by identifying and classifying loyal users using supervised machine learning algorithms such as Decision Tree, K-Nearest Neighbor, and Support Vector Machine. The study also suggests a threshold-based channel allocation method … city of taunton property taxWebHE Internet of Things (IoT) has been widely developed with the unprecedented proliferation of mobile devices, such as smart phones, cloud-based mobile sensors, tablet computers … city of taunton planning board